A fast algorithm for multi-component LFM signal analysis exploiting segmented DPT and SDFrFT

Shengheng Liu; Tao Shan; Yimin D. Zhang; Ran Tao; Yuan Feng

doi:10.1109/RADAR.2015.7131165

A fast algorithm for multi-component LFM signal analysis exploiting segmented DPT and SDFrFT

Shengheng Liu, Tao Shan, Yimin D. Zhang, Ran Tao, Yuan Feng

School of Information and Electronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

32 Citations (Scopus)

Abstract

This paper addresses the problem of estimating the chirp rates of multi-component linear frequency modulated signals, which is important in radar, sonar and navigation signal processing. The main difficulties in the estimation procedure lie in the cross-terms between multi-components and the high computation burden. To solve these problems, a novel algorithm that combines segmented discrete polynomial-phase transform and sparse discrete fractional Fourier transform is proposed to yield a significant reduction of the computational load with a satisfactory estimation performance. Simulation results are provided to demonstrate the effectiveness of the proposed approach.

Original language	English
Title of host publication	2015 IEEE International Radar Conference, RadarCon 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1139-1143
Number of pages	5
Edition	June
ISBN (Electronic)	9781479982325
DOIs	https://doi.org/10.1109/RADAR.2015.7131165
Publication status	Published - 22 Jun 2015
Event	2015 IEEE International Radar Conference, RadarCon 2015 - Arlington, United States Duration: 10 May 2015 → 15 May 2015

Publication series

Name	IEEE National Radar Conference - Proceedings
Number	June
Volume	2015-June
ISSN (Print)	1097-5659

Conference

Conference	2015 IEEE International Radar Conference, RadarCon 2015
Country/Territory	United States
City	Arlington
Period	10/05/15 → 15/05/15

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10.1109/RADAR.2015.7131165

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Liu, S., Shan, T., Zhang, Y. D., Tao, R., & Feng, Y. (2015). A fast algorithm for multi-component LFM signal analysis exploiting segmented DPT and SDFrFT. In 2015 IEEE International Radar Conference, RadarCon 2015 (June ed., pp. 1139-1143). Article 7131165 (IEEE National Radar Conference - Proceedings; Vol. 2015-June, No. June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RADAR.2015.7131165

@inproceedings{c3bcc555ec3e4b29b71f04b5fea6ef52,

title = "A fast algorithm for multi-component LFM signal analysis exploiting segmented DPT and SDFrFT",

abstract = "This paper addresses the problem of estimating the chirp rates of multi-component linear frequency modulated signals, which is important in radar, sonar and navigation signal processing. The main difficulties in the estimation procedure lie in the cross-terms between multi-components and the high computation burden. To solve these problems, a novel algorithm that combines segmented discrete polynomial-phase transform and sparse discrete fractional Fourier transform is proposed to yield a significant reduction of the computational load with a satisfactory estimation performance. Simulation results are provided to demonstrate the effectiveness of the proposed approach.",

author = "Shengheng Liu and Tao Shan and Zhang, {Yimin D.} and Ran Tao and Yuan Feng",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE International Radar Conference, RadarCon 2015 ; Conference date: 10-05-2015 Through 15-05-2015",

year = "2015",

month = jun,

day = "22",

doi = "10.1109/RADAR.2015.7131165",

language = "English",

series = "IEEE National Radar Conference - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "June",

pages = "1139--1143",

booktitle = "2015 IEEE International Radar Conference, RadarCon 2015",

address = "United States",

edition = "June",

}

Liu, S, Shan, T, Zhang, YD, Tao, R & Feng, Y 2015, A fast algorithm for multi-component LFM signal analysis exploiting segmented DPT and SDFrFT. in 2015 IEEE International Radar Conference, RadarCon 2015. June edn, 7131165, IEEE National Radar Conference - Proceedings, no. June, vol. 2015-June, Institute of Electrical and Electronics Engineers Inc., pp. 1139-1143, 2015 IEEE International Radar Conference, RadarCon 2015, Arlington, United States, 10/05/15. https://doi.org/10.1109/RADAR.2015.7131165

A fast algorithm for multi-component LFM signal analysis exploiting segmented DPT and SDFrFT. / Liu, Shengheng; Shan, Tao; Zhang, Yimin D. et al.
2015 IEEE International Radar Conference, RadarCon 2015. June. ed. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1139-1143 7131165 (IEEE National Radar Conference - Proceedings; Vol. 2015-June, No. June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A fast algorithm for multi-component LFM signal analysis exploiting segmented DPT and SDFrFT

AU - Liu, Shengheng

AU - Shan, Tao

AU - Zhang, Yimin D.

AU - Tao, Ran

AU - Feng, Yuan

PY - 2015/6/22

Y1 - 2015/6/22

N2 - This paper addresses the problem of estimating the chirp rates of multi-component linear frequency modulated signals, which is important in radar, sonar and navigation signal processing. The main difficulties in the estimation procedure lie in the cross-terms between multi-components and the high computation burden. To solve these problems, a novel algorithm that combines segmented discrete polynomial-phase transform and sparse discrete fractional Fourier transform is proposed to yield a significant reduction of the computational load with a satisfactory estimation performance. Simulation results are provided to demonstrate the effectiveness of the proposed approach.

AB - This paper addresses the problem of estimating the chirp rates of multi-component linear frequency modulated signals, which is important in radar, sonar and navigation signal processing. The main difficulties in the estimation procedure lie in the cross-terms between multi-components and the high computation burden. To solve these problems, a novel algorithm that combines segmented discrete polynomial-phase transform and sparse discrete fractional Fourier transform is proposed to yield a significant reduction of the computational load with a satisfactory estimation performance. Simulation results are provided to demonstrate the effectiveness of the proposed approach.

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U2 - 10.1109/RADAR.2015.7131165

DO - 10.1109/RADAR.2015.7131165

M3 - Conference contribution

AN - SCOPUS:84937827500

T3 - IEEE National Radar Conference - Proceedings

SP - 1139

EP - 1143

BT - 2015 IEEE International Radar Conference, RadarCon 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 IEEE International Radar Conference, RadarCon 2015

Y2 - 10 May 2015 through 15 May 2015

ER -

Liu S, Shan T, Zhang YD, Tao R , Feng Y. A fast algorithm for multi-component LFM signal analysis exploiting segmented DPT and SDFrFT. In 2015 IEEE International Radar Conference, RadarCon 2015. June ed. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1139-1143. 7131165. (IEEE National Radar Conference - Proceedings; June). doi: 10.1109/RADAR.2015.7131165

A fast algorithm for multi-component LFM signal analysis exploiting segmented DPT and SDFrFT

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